Publication: NMRexSeer: Metadata extraction and search for large scale Nuclear Magnetic Resonance (NMR) experimental data
Issued Date
2016-02-08
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2-s2.0-84964370021
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Mahidol University
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SCOPUS
Bibliographic Citation
ICSEC 2015 - 19th International Computer Science and Engineering Conference: Hybrid Cloud Computing: A New Approach for Big Data Era. (2016)
Suggested Citation
Suppawong Tuarob, Kevin A. Glass, C. Lee Giles NMRexSeer: Metadata extraction and search for large scale Nuclear Magnetic Resonance (NMR) experimental data. ICSEC 2015 - 19th International Computer Science and Engineering Conference: Hybrid Cloud Computing: A New Approach for Big Data Era. (2016). doi:10.1109/ICSEC.2015.7401396 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/43539
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NMRexSeer: Metadata extraction and search for large scale Nuclear Magnetic Resonance (NMR) experimental data
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Abstract
© 2015 IEEE. Sciences have become both complex and demanding for cutting-edge technology and resources to perform experiments. Since 1997, the Environmental Molecular Sciences Laboratory (EMSL) has served as a user facility housing resources for global scientists to perform experiments necessary to their research. Overtime, the generated data has become both massive and redundant. To encourage better management and reuse of such experimental data, MyEMSL has emerged as an in-house centralized data management tool that collects and distributes data from the experiments at EMSL. Nuclear Magnetic Resonance Spectroscopy (NMR) is one of the major experiment resources that EMSL houses. We discuss NMRexSeer, a proposed digital library system that automatically extracts and indexes NMR specific metadata from NMR experimental data packages. The system also generates visualized previews and provides a search interface for easy access and discovery of desired data.